AI-based prediction of drug-gene interactions modulating tight junction integrity: A deep learning framework highlighting multiple therapeutic targets
This study presents a powerful AI-based approach for discovering drug candidates targeting tight junctions, offering potential therapeutic strategies for diseases involving tight junction disruption.
Authors
- Shreya Desai (ORCID: https://orcid.org/0000-0003-0907-0286)
- Varun Keskar
- Amrutha Shenoy (ORCID: https://orcid.org/0000-0003-1066-3062)
Institutions
- Saveetha University (IN)
Publication Details
- Journal
- Journal of Oral Biology and Craniofacial Research
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.jobcr.2025.10.014
- Citations
- 1
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 1.50
Funders
- Saveetha Dental College